Kanika Harjai

Executive Board Member at Hen Nozzles

Kanika Harjai has a diverse range of work experience in various analytics and marketing roles. Their most recent position is as the Head of Digital Marketing at HEN Nozzles, starting in April 2023. Prior to that, they worked at Amazon Web Services (AWS) as a Business Intelligence Engineer in Marketing Science from June 2021 to April 2023. Kanika also held roles at Bank of the West, starting as a Senior Marketing Analyst, VP in May 2016 and transitioning to the role of Senior Lead in Marketing Data Science from January 2020 to June 2021.

Earlier in their career, Kanika was the Manager of Applied Marketing Analytics at Adobe from November 2015 to May 2016, where they focused on building and enhancing customer marketing strategies using data insights. Before that, they worked at Williams-Sonoma as a Statistical Modeling Analyst from June 2013 to November 2015, where they optimized marketing strategies through data-driven insights.

Kanika's experience also includes a role as a Senior Business Analyst at Sterling Jewelers from April 2011 to June 2013, where they specialized in credit scoring and building predictive models. Kanika began their career as a Graduate Teaching Assistant at The University of Akron from August 2007 to January 2010, where they taught statistical software and tutored students in statistics.

To further expand their skills, Kanika worked as an Analytics Intern at Hudson & Keyse LLC from May 2008 to July 2008, where they focused on building data-driven predictive models and analyzing historical business data.

Overall, Kanika Harjai has a strong background in analytics and marketing, with experience in various industries and a focus on leveraging data-driven insights for strategic decision-making.

Kanika Harjai attended The University of Akron from 2007 to 2009, where they obtained a Master of Science degree in Statistics. In addition to their formal education, they have also received certifications in various machine learning and predictive modeling fields. In March 2019, they obtained a certification in Machine Learning: Regression from Coursera. In January 2019, they also received a certification in Machine Learning Foundations: A Case Study Approach, also from Coursera. Furthermore, in October 2012, they obtained a certification as a SAS certified predictive modeler using SAS Enterprise Miner 6 from the SAS Institute.

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